Abstract: This paper proposes a 1-Dimensional Convolutional Neural Network (1D CNN) for simultaneous detection as well as classification of faults in overhead lines. The dataset used by the model was ...
Abstract: Reliable fault diagnosis of DC-DC converters is critical for ensuring the safety and operational continuity of electric vehicles (EVs) and industrial power systems. In practical applications ...
ABSTRACT: Structural health monitoring (SHM) is critical for ensuring the safety and serviceability of civil infrastructures. Traditional vibration-based damage detection methods often rely on ...
1 Guangzhou Railway Polytechnic, Guangzhou, China. 2 School of Intelligent Construction and Civil Engineering, Zhongyuan University of Technology, Zhengzhou, China. 3 Research Center for Wind ...
Nov 3 (Reuters) - Verizon (VZ.N), opens new tab announced a deal with Amazon Web Services on Monday to build high-capacity fiber routes connecting AWS data centers, aiming to strengthen infrastructure ...
A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
Infineon’s Power & Sensor Systems division is teaming up with Nvidia to upgrade the outdated power architecture of AI data centers and replace them with a centralized high-voltage DC power setup. With ...
AWARE uses waveform signatures to detect and classify early-stage grid faults, enabling proactive intervention. The system combines physics-based models with AI/ML to interpret subtle electrical ...
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